“Data is the new oil, but only if it’s refined.” — Tableau helps refine and visualize that data to fuel your decisions.

🧭 Table of Contents

1. What is Tableau?

2. Why Use Tableau?

3. Types of Tableau Products

4. Tableau vs Other BI Tools

5. Getting Started with Tableau (with screenshots)

6. Connecting to a Dataset

7. Data Preparation in Tableau

8. Creating Visualizations:

   • Bar Charts

   • Line Graphs

   • Pie Charts

   • Maps

9. Using Calculated Fields (with code)

10. Dashboards & Storytelling

11. Tableau Public vs Tableau Desktop

12. Real-World Example (Project: Sales Dashboard)

13. Advanced: Using Tableau with Python (TabPy)

14. Exporting and Sharing Visuals

15. Tips for Beginners

16. Final Thoughts

📌 1. What is Tableau?

Tableau is a powerful data visualization tool used for converting raw data into understandable formats—charts, graphs, dashboards, and more—without needing complex coding skills.

💡 2. Why Use Tableau?

• Drag-and-drop interface

• Connects to any data source (Excel, SQL, Cloud)

• Real-time collaboration

• Stunning visualizations

• Speed and performance

🧰 3. Types of Tableau Products

🔄 4. Tableau vs Other BI Tools

🧱 5. Getting Started with Tableau

1. Download: Get Tableau Desktop Trial

2. Install and Open the app.

3. You'll see this start screen:

4. Click on “Connect to a file” → Microsoft Excel

🔗 6. Connecting to a Dataset

Let’s use a sample Sales Data Excel file. Tableau will show a preview.

📸 Screenshot: Connected Excel file

🧹 7. Data Preparation in Tableau

Before analyzing, clean and structure the data:

• Rename fields

• Change data types

• Create relationships between tables

✨ Tip: Use Data Interpreter for auto-cleaning spreadsheets.

📊 8. Creating Visualizations

🔸 Bar Chart

Steps:

• Drag Category to Columns

• Drag Sales to Rows

• Tableau auto-generates a bar chart

📸 Bar Chart Screenshot

🔸 Line Chart

Steps:

• Drag Order Date to Columns

• Drag Profit to Rows

📸 Line Chart Screenshot

🔸 Pie Chart

• Drag Region to Color

• Drag Sales to Angle

📸 Pie Chart Screenshot

🌍 Map Visualization

If your data has country, state, or city:

• Drag City to Detail

• Drag Sales to Size

📸 Map Visualization Screenshot

🧮 9. Using Calculated Fields

Let’s say we want to calculate Profit Ratio.

plaintextCopyEdit[Profit] / [Sales]

Steps:

• Click "Analysis" → "Create Calculated Field"

• Enter the above formula and name it "Profit Ratio"

📸 Calculated Field Screenshot

📋 10. Dashboards & Storytelling

A dashboard is a collection of visualizations that tell a story.

Steps:

• Click on Dashboard → New Dashboard

• Drag your sheets into the workspace

• Add filters, images, and text for context

  📸 Sample Dashboard Screenshot

🌐 11. Tableau Public vs Tableau Desktop

💼 12. Real-World Project: Sales Dashboard

Let’s say you are an analyst and need to present sales trends across regions.

📘 Dataset: Sample - Superstore.xls

Visuals to Include:

• Region-wise Sales & Profit

• Top Performing Products

• Trend over time

• Profit Ratio

📸 Complete Dashboard Screenshot

🧪 13. Advanced: Using Tableau with Python (TabPy)

TabPy allows you to use Python scripts inside Tableau.

pythonCopyEditSCRIPT_REAL("
  import numpy as np
  return np.mean(_arg1)
", SUM([Sales]))

📌 Useful for machine learning models, predictions, or custom logic.

📤 14. Exporting and Sharing Visuals

• Export as PDF or Image

• Publish to Tableau Public

• Share via Tableau Server

📸 Export Dialog Screenshot

🚀 15. Tips for Beginners

• Practice with Sample Workbooks

• Watch free Tableau training on YouTube

• Use Tableau Public to build a portfolio

• Learn calculated fields for deeper insights

🏁 16. Final Thoughts

Tableau is more than just a charting tool—it's a decision-making companion. Whether you’re a student, manager, developer, or data analyst, Tableau can simplify complex data and help you tell powerful stories through visualizations.

Explore. Analyze. Share. That’s the power of Tableau.

Author: Tawab S. Shaikh, Bhumi Kamble and Priti Palkar. Guide: Prof. Chandan Kolvankar